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Statistical Analysis of Treatment Planning Parameters for Prediction of Delivery Quality Assurance Failure for Helical Tomotherapy

Authors
 Chang, Kyung Hwan  ;  Lee, Young Hyun  ;  Park, Byung Hun  ;  Han, Min Cheol  ;  Kim, Jihun  ;  Kim, Hojin  ;  Cho, Min-Seok  ;  Kang, Hyokyeong  ;  Lee, Ho  ;  Kim, Dong Wook  ;  Park, Kwangwoo  ;  Cho, Jaeho  ;  Kim, Yong Bae  ;  Kim, Jin Sung  ;  Hong, Chae-Seon 
Citation
 TECHNOLOGY IN CANCER RESEARCH & TREATMENT, Vol.19 : 1-9, 2020-12 
Journal Title
 TECHNOLOGY IN CANCER RESEARCH & TREATMENT 
ISSN
 1533-0346 
Issue Date
2020-12
Keywords
leaf open time ; DQA failure ; prediction ; planning parameters ; helical tomotherapy
Abstract
Purpose: This study aimed to investigate the parameters with a significant impact on delivery quality assurance (DQA) failure and analyze the planning parameters as possible predictors of DQA failure for helical tomotherapy. Methods: In total, 212 patients who passed or failed DQA measurements were retrospectively included in this study. Brain (n = 43), head and neck (n = 37), spinal (n = 12), prostate (n = 36), rectal (n = 36), pelvis (n = 13), cranial spinal irradiation and a treatment field including lymph nodes (n = 24), and other types of cancer (n = 11) were selected. The correlation between DQA results and treatment planning parameters were analyzed using logistic regression analysis. Receiver operating characteristic (ROC) curves, areas under the curves (AUCs), and the Classification and Regression Tree (CART) algorithm were used to analyze treatment planning parameters as possible predictors for DQA failure. Results: The AUC for leaf open time (LOT) was 0.70, and its cut-off point was approximately 30%. The ROC curve for the predicted probability calculated when the multivariate variable model was applied showed an AUC of 0.815. We confirmed that total monitor units, total dose, and LOT were significant predictors for DQA failure using the CART. Conclusions: The probability of DQA failure was higher when the percentage of LOT below 100 ms was higher than 30%. The percentage of LOT below 100 ms should be considered in the treatment planning process. The findings from this study may assist in the prediction of DQA failure in the future.
Full Text
https://journals.sagepub.com/doi/10.1177/1533033820979692
DOI
10.1177/1533033820979692
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiation Oncology (방사선종양학교실) > 1. Journal Papers
Yonsei Authors
Kim, Dong Wook(김동욱) ORCID logo https://orcid.org/0000-0002-5819-9783
Kim, Yong Bae(김용배) ORCID logo https://orcid.org/0000-0001-7573-6862
Kim, Jihun(김지훈) ORCID logo https://orcid.org/0000-0003-4856-6305
Kim, Jinsung(김진성) ORCID logo https://orcid.org/0000-0003-1415-6471
Kim, Hojin(김호진)
Park, Kwang Woo(박광우) ORCID logo https://orcid.org/0000-0002-9843-7985
Lee, Ho(이호) ORCID logo https://orcid.org/0000-0001-5773-6893
Chang, Kyung Hwan(장경환)
Cho, Jae Ho(조재호) ORCID logo https://orcid.org/0000-0001-9966-5157
Han, Min Cheol(한민철)
Hong, Chae-Seon(홍채선) ORCID logo https://orcid.org/0000-0001-9120-6132
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/181797
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